In the frequentist framework, a quasi-likelihood approach has long been used as a means of allowing for overdispersion, a common occurrence in many areas of scientific research.
An alternative approach is to improve models by including random effects that.
Paḳsher, Menaḥem Mendel ben Daṿid ha-Kohen
David de Rothschild
David Macinnis Gill
Durango has always relied on mimi--once his tough-as-nails squad leader, she is now the bitingly sarcastic artificial intelligence flash-cloned to his brain.
David Sanderson
David Ramirez
David Ramirez
David Kerr
David Kerr
David Sheff
David Goldfischer
David A. deSilva
David Savill
In 1994, marko novak's world is torn apart by the death of his best friend, kemal, a young soldier in the darkest days of the bosnian war.
David Triesman
David Dickinson
David Loades
Daughter of henry viii, half-sister to the future elizabeth i, the dramatic story of the first woman to rule england - and the cruel fate of those who opposed her iron will.
David R. Hawkins
This, the sixth book in a progressive series by the author, finalizes and further clarifies the true nature and core of the condition termed “enlightenment.
David Freeman
David Perlmutter
The devastating truth about the effects of wheat, sugar, and carbs on the brain, with a 4-week plan to achieve optimum health.
David W. Dodick
David Ings
The popular south wales seaside resort of barry island has a long and distinctive history.
David S. Wall
David Melling
David Melling
David Melling
David West
David Melling
David Melling
David Nunemaker
David Cairns
David Wolstencroft
David Anderson
David Matthews
David Collier-Brown
David Schickler
David R. Rogers
David Canter
'crime hot-spots' and 'repeat victimisation' are eye-catching subjects in the wider study of where, and to a lesser extent when, individual criminals choose to commit their crimes.
David Kirkpatrick
David B. Morris
David Arnold
David Canter
David Eyre
David Canter
Serial killing drove the initial fascination with 'profiling' and was the focus of the earliest 'offender profiling' works.
David Bailey
David Guggenheim and
David Bailey
David Gilmour
David Geary
Angularjs has quickly emerged as the #1 open-source framework for building modern single-page apps with javascript and html5.
David Meikle
David Damrosch
David Salisbury
David Nicholls
David Knapp
David Herszenhorn
Stewart, David
John C. Gower
Most multivariate analysis books are limited to a basic treatment of canonical variate analysis (cva), this book provides an extensive and comprehensive treatment of cva methods along with practical examples, many of which are drawn from the authors own e.
Jean-Jacques Droesbeke
Addisson Salazar
Josep Antoni Martín-Fernández
Jurriaan Huskens
Wendy L. Martinez
Praise for the second edition: the authors present an intuitive and easy-to-read book.
Wendy L. Martinez
Praise for the second edition: the authors present an intuitive and easy-to-read book.
Ardo van den Hout
Multi-state survival models for interval-censored data introduces methods to describe stochastic processes that consist of transitions between states over time.
Tonio Di Battista
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Daniel J. Denis
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral scienceswritten as a general and accessible introduction, applied univariate, bivariate, and multivariate st.
Ella Bingham
In honour of professor erkki oja, one of the pioneers of independent component analysis (ica), this book reviews key advances in the theory and application of ica, as well as its influence on signal processing, pattern recognition, machine learning, and d.
Wolfgang Karl Härdle
Joe Zhu
Thomas D. Wickens
George A. Marcoulides
Bruce L. Bowerman
The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field.
Jones, Richard H.
Marianna Bolla
Jin-Ting Zhang
Despite research interest in functional data analysis in the last three decades, few books are available on the subject.
Zoltán Sasvári
Multivariate characteristic functions are the fourier transforms of distributions of random vectors.
Mohsen Pourahmadi
Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data.
Niels Blunch
First ed.
Brian Everitt
The majority of data sets collected by researchers in all disciplines are multivariate.
Timothy R. C. Read
The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades.
Yasunori Fujikoshi
A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications"multivariate statistics: high-dimensional and large-sample approximations" is the first book of its kind to explore how classical multivaria.
Brigitte Le Roux
Brian S. Everitt
Geert Molenberghs
The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.
Joseph F., Jr Hair
For graduate and upper-level undergraduate marketing research courses.
Keith E. Muller
A precise and accessible presentation of linear model theory, illustrated with data examples statisticians often use linear models for data analysis and for developing new statistical methods.
Geert Molenberghs
The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.
George A. Marcoulides
Featuring contributions from some of the leading researchers in the field of sem, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development.
Jennifer S. Rose
This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research.
William Berry
Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year.
Johan J. Kok
Gary E. Meek